Quant Researcher

Quantitative Researcher 

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant’s success is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. That’s a key ingredient in remaining a leader in any industry.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Our collective intelligence will drive us there.

The Role:

Our research office in Singapore is seeking an exceptionally talented individual to join the team as a Quantitative Researcher. This position involves the creation of computer-based models that seek to predict the movements of worldwide financial markets. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other financial markets. Our highly accomplished senior staff provides new hires with mentoring and guidance to help them succeed.

What You’ll Bring:

• Candidates holding or pursuing a BS (Hons), MS or PhD in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.  
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic